| Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning | May 12, 2022 | Gaussian ProcessesUncertainty Quantification | CodeCode Available | 0 | 5 |
| Deep Gaussian Processes for Air Quality Inference | Nov 18, 2022 | Air Quality InferenceGaussian Processes | CodeCode Available | 0 | 5 |
| Recursive Monte Carlo and Variational Inference with Auxiliary Variables | Mar 5, 2022 | AstronomyStochastic Optimization | CodeCode Available | 0 | 5 |
| Reducing Reparameterization Gradient Variance | May 22, 2017 | Variational Inference | CodeCode Available | 0 | 5 |
| Deep Gaussian Markov Random Fields | Feb 18, 2020 | Variational Inference | CodeCode Available | 0 | 5 |
| Factorized Fusion Shrinkage for Dynamic Relational Data | Sep 30, 2022 | Variational Inference | CodeCode Available | 0 | 5 |
| Rényi Divergence Variational Inference | Feb 6, 2016 | Variational Inference | CodeCode Available | 0 | 5 |
| Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputation | Oct 1, 2024 | EEGElectromyography (EMG) | CodeCode Available | 0 | 5 |
| Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models | Feb 23, 2019 | Decision MakingDialogue Generation | CodeCode Available | 0 | 5 |
| Gaussian Process-Gated Hierarchical Mixtures of Experts | Feb 9, 2023 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 | 5 |
